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Package with useful functions for BI-SVZ coursework

Project description

This repository contains Python library with useful helper functions for Machine vision and Image processing (BI-SVZ) coursework taught at FIT CTU. For more details, see main course page.

How to deploy a new version

This repository uses GitLab CI/CD Pipelines to deploy improutils package either to production or test PyPI.

Steps to release a new version to production PyPI

  • Update version.py file with a new version number with respect to semantic versioning rules
  • Commit your local changes
    • git commit -m "Add awesome AI feature"
  • Create a tagged version based on version.py
    • git tag -a $(python3 setup.py --version)
  • Push tag to origin
    • git push --tags
  • Wait for the package to be deployed and then check new version at PyPI

Steps to release a new version to test PyPI

Almost same as above, but the push tag step must be skipped. Testing version is available at test PyPI.

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improutils-1.1.9.tar.gz (17.2 kB view hashes)

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